使用光谱张量列车对开放量子系统进行精确的数值模拟
1Department of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, USA.
The Journal of chemical physics
|December 18, 2024
概括
一种新的数值方法,即量子加速静态传播器评估 (Q-ASPEN),通过精确模拟噪声效应来解决量子计算中的不连贯性. 这种提前帮助估计用于量子错误纠正的资源.
科学领域:
- 量子信息科学 量子信息科学
- 计算物理 计算物理
- 量子计算是一种量子计算.
背景情况:
- 量子比特中的脱凝是可靠量子计算的主要障碍.
- 来自量子/热波动和外部场的噪声会降低量子比特状态.
研究的目的:
- 引入一种新的数值方法,Q-ASPEN,用于在现实的噪声条件下模拟量子系统.
- 为了能够准确估计量子错误纠正所需的资源.
主要方法:
- 开发了量子加速随机传播器评估 (Q-ASPEN) 对于依赖时间的噪声平均降低密度矩阵.
- 采用光谱张量列车,将张量网络和伪光谱方法结合起来,作为一个变化的替代品.
- 利用神经网络训练技术进行替代品优化.
主要成果:
- 对于与内在和外在噪声的量子放松问题,Q-ASPEN提供了任意准确的解决方案.
- 对于几十个量子级别的系统进行准确计算的可行性.
- 关于自旋玻色子模型和量子链的基准测试显示了多项式内存缩放.
结论:
- Q-ASPEN提供了一个强大的工具来模拟杂的量子系统.
- 该方法显著提升了实际量子错误校正的潜力.
- 光谱张量列车使得高效和准确的量子动力学模拟成为可能.
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